A review of advanced multi-modal image fusion techniques for brain tumor detection | [Rawal Medical Journal • 2025]

Author(s):

1. Arooj Akram: Department of Basic Science, The Superior University, Lahore, Pakistan

2. Nimra Tariq: Department of Basic Science, The Superior University, Lahore, Pakistan

3. Momina Aisha: Department of Basic Science, The Superior University, Lahore, Pakistan

4. Arfan Jaffar: Faculty of Computer Science and Information Technology, The Superior University, Lahore, Pakistan

5. Tayyaba Abbas: Department of Basic Science, The Superior University, Lahore, Pakistan

Abstract:

This review provides an extensive analysis of medical image fusion algorithms, categorized into four main groups: morphological methods, human value system operator-based approaches, sub-band decomposition, and neural network-based methods. The review also covers a comparative analysis of these strategies and their efficiency in brain tumor detection. This article further examines medical imaging modalities, and related databases along with statistical outcomes. It includes a detailed discussion on imaging techniques, such as radiation-based methods, visible light microscopy, and multi-modal medical imaging.

Page(s): 199-204

DOI: DOI not available

Published: Journal: Rawal Medical Journal, Volume: 50, Issue: 1, Year: 2025

Keywords:

fuzzy logic , Neural Networks , brain tumor segmentation , multimodality , Image fusion

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